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基于三维小波包变换的改进型SPIHT对实时容积超声心动图数据的压缩

Compression of real time volumetric echocardiographic data using modified SPIHT based on the three-dimensional wavelet packet transform.

作者信息

Hang X, Greenberg N L, Shiota T, Firstenberg M S, Thomas J D

机构信息

Ohio State University, USA.

出版信息

Comput Cardiol. 2000;27:123-6.

PMID:14632009
Abstract

Real-time three-dimensional echocardiography has been introduced to provide improved quantification and description of cardiac function. Data compression is desired to allow efficient storage and improve data transmission. Previous work has suggested improved results utilizing wavelet transforms in the compression of medical data including 2D echocardiogram. Set partitioning in hierarchical trees (SPIHT) was extended to compress volumetric echocardiographic data by modifying the algorithm based on the three-dimensional wavelet packet transform. A compression ratio of at least 40:1 resulted in preserved image quality.

摘要

实时三维超声心动图已被引入,以更好地量化和描述心脏功能。需要进行数据压缩,以实现高效存储并改善数据传输。先前的工作表明,利用小波变换对包括二维超声心动图在内的医学数据进行压缩可取得更好的效果。通过基于三维小波包变换修改算法,将分层树中的集分割(SPIHT)扩展到对容积超声心动图数据进行压缩。至少40:1的压缩率可保证图像质量。

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